Invitation to Submit
제출 안내
The International Conference on Environmental Applications of Machine Learning , organized by the Korean Society for Academic Advancement (KSAA), invites original and high-quality research contributions from researchers, academicians, and professionals across all disciplines. Submissions are accepted in the form of research papers, case studies, and review articles aligned with the conference themes and academic focus areas.
International Conference on Environmental Applications of Machine Learning , 한국학술진흥학회(KSAA)가 주최하는 본 학술대회는 다양한 분야의 연구자, 학자 및 전문가들로부터 우수한 연구 논문을 모집합니다. 논문, 사례 연구 및 리뷰 논문 등 학술대회 주제에 부합하는 연구 결과를 제출할 수 있습니다.
Research Papers
연구 논문
Case Studies
사례 연구
Review Articles
리뷰 논문
Research Areas
연구 분야
Machine Learning For Climate Modeling
Predictive Analytics In Environmental Science
Ai For Biodiversity Conservation Efforts
Sustainable Resource Management Using Ml
Environmental Monitoring With Sensor Data
Machine Learning In Renewable Energy Systems
Pollution Prediction And Control Using Ai
Data-driven Approaches To Climate Change
Smart Agriculture And Machine Learning
Wildlife Tracking With Machine Learning
Ai For Disaster Response And Recovery
Urban Planning And Environmental Sustainability
Machine Learning For Water Resource Management
Impact Assessment Of Environmental Policies
Carbon Footprint Reduction Using Ai
Machine Learning In Ecological Modeling
Public Health And Environmental Data Analysis
Community Engagement Through Environmental Ai
Future Trends In Environmental Machine Learning
Ethics Of Ai In Environmental Applications
Review & Acceptance
심사 및 채택
All submissions will undergo a peer review process. Accepted papers may be presented at the conference and considered for further academic dissemination.
모든 제출 논문은 동료 심사 과정을 거치며, 채택된 논문은 학술대회 발표 및 추가 학술 확산의 기회를 갖게 됩니다.